Ramesh Shah
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diet, Metabolism, and Disease 2
- Surgery 13
- Cholesterol and Lipid Metabolism 12
- Co-authors
- Janet K. SawyerLawrence L. RudelMartha D. WilsonKathryn L. KelleyL L RudelJ. Mark BrownMatthew A. DavisRichard Lee
- Journals
- Journal of Lipid Research (7 papers)Journal of Biological Chemistry (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Journal of Clinical Investigation (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Ramesh Shah
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Biochemistry 218
- Cancer Research 225
- Surgery 657
- Endocrinology, Diabetes and Metabolism 225
- Nutrition and Dietetics 192
Countries citing papers authored by Ramesh Shah
This map shows the geographic impact of Ramesh Shah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramesh Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Shah more than expected).
Fields of papers citing papers by Ramesh Shah
This network shows the impact of papers produced by Ramesh Shah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramesh Shah. The network helps show where Ramesh Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramesh Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sex and seasonal variations in the serum biochemical profile of Changthangi Pashmina goats. | 2015 | 3 |
| 2 | 2013 | 25 | |
| 3 | 2013 | 31 | |
| 4 | 2010 | 67 | |
| 5 | 2010 | 125 | |
| 6 | 2010 | 94 | |
| 7 | 2009 | 52 | |
| 8 | 2008 | 93 | |
| 9 | 2008 | 130 | |
| 10 | 2005 | 60 | |
| 11 | 2005 | 95 | |
| 12 | 2002 | 39 | |
| 13 | 1998 | 150 | |
| 14 | 1997 | 67 | |
| 15 | 1979 | 58 | |
| 16 | 1977 | 45 |
About Ramesh Shah
Ramesh Shah is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Biochemistry, Nutrition and Dietetics and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Fatty Acid Research and Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Biochemistry (218 citations), Cancer Research (225 citations), Surgery (657 citations), Endocrinology, Diabetes and Metabolism (225 citations) and Nutrition and Dietetics (192 citations). Ramesh Shah has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Janet K. Sawyer, Lawrence L. Rudel, Martha D. Wilson, Kathryn L. Kelley, L L Rudel, J. Mark Brown, Matthew A. Davis, Richard Lee, D G Greene and Heather M. Alger. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Investigation and Cell Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.